Invoice Data Extraction API for PDF Invoices, Scans, and Images
Extract invoice data in one API call and get structured JSON with totals, dates, vendors, taxes, and line items for your accounting workflows.
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Best fit for
Accounts payable automation, ERP ingestion, vendor invoice pipelines, and finance teams replacing manual invoice entry.
See code examplesReduce manual entry
Replace repetitive invoice keying with a single API call and reusable template.
Capture line items too
Extract header fields and table rows in the same response for downstream automation.
Handle layout variation
Use one workflow across supplier PDFs, scans, and image uploads without custom OCR rules.
What is invoice data extraction?
Invoice data extraction is the process of converting unstructured invoice documents into structured data such as invoice numbers, dates, vendor details, totals, taxes, and line items. Teams use invoice extraction software to automate accounts payable workflows and remove manual data entry.
Parselyze provides a powerful invoice data extraction API that converts PDF invoices, scanned documents, and images into structured JSON in seconds. Unlike traditional OCR tools that return raw text, Parselyze returns clean, ready-to-use data that can be directly integrated into your ERP, accounting system, or database.
Example: invoice to JSON
Submit an invoice PDF, image, or scanned document. This is the type of structured JSON your application receives back.
{ "invoiceNumber": "FCT-000342", "invoiceDate": "2024-05-28", "vendorName": "ACME Corporation", "vendorAddress": "123 Innovation St, Example City", "customerName": "John Example", "currency": "USD", "totalAmount": 1500.00, "lineItems": [ { "description": "Consulting services", "quantity": 8, "unitPrice": 125.00, "total": 1000.00 }, { "description": "Design mockups", "quantity": 1, "unitPrice": 500.00, "total": 500.00 } ] }
Want to implement this in your app?
Use the SDK or REST API, define your template once, then parse invoices automatically.
How invoice extraction works with Parselyze
A simple workflow for teams that want to automate invoice processing without building custom OCR rules.
Upload a sample invoice
Upload a PDF, scan, or invoice image in the dashboard to define the extraction once.
Choose the invoice fields you need
Select totals, dates, vendor details, taxes, and line items to build your template in under a minute.
Parse invoices to JSON at scale
Send invoices through the API and receive structured JSON ready for ERP, accounting, or database ingestion.
What fields can you extract from invoices?
Extract the standard invoice fields your AP and finance workflows depend on, then map the response directly to your own JSON schema.
Invoice Number
Unique identifier for the invoice, typically found at the top of the document.
Vendor Name
The name of the supplier or vendor issuing the invoice.
Invoice Date
The date when the invoice was issued.
Currency
The currency in which the invoice is issued.
Subtotal
The total amount before taxes and fees.
Tax Amount
The total tax amount applied to the invoice.
Total Amount
The total amount due, including taxes and fees.
Line Items
Detailed list of products or services billed, including quantities and prices.
Invoice processing automation workflows
How teams use invoice extraction JSON to automate downstream operations.
Accounts Payable Automation
Automatically extract invoice data and push structured JSON into your accounting system (ERP, QuickBooks, Xero) to eliminate manual data entry.
Invoice Spend Analytics
Aggregate structured invoice data across vendors and time periods to monitor spending, detect trends, and generate financial reports.
Three-Way Matching Automation
Match extracted invoice data with purchase orders and delivery notes to automate validation and reduce accounting errors.
Structured Invoice Archiving
Store invoices as structured JSON in your database instead of raw PDFs, making them searchable, filterable, and easy to analyze.
Invoice data extraction for any invoice format
Parse PDF invoices, scanned documents, and images into structured JSON. Parselyze handles layout changes without manual templates per supplier.
PDF invoice data extraction
Extract structured data from digitally generated PDF invoices from any invoicing software, ERP, or billing platform.
Scanned invoice OCR + extraction
Parse scanned paper invoices converted to PDF, including low-quality, rotated, or noisy documents.
Invoice image parsing
Extract data from invoice images (JPEG, PNG, WEBP, TIFF) captured via mobile, scanners, or upload portals.
Multi-page invoice processing
Handle invoices spanning multiple pages, including complex tables split across pages.
Batch invoice processing (ZIP)
Upload ZIP archives containing multiple invoices and extract all documents in a single API request.
All invoice types supported
Extract data from proforma invoices, credit notes, debit notes, and purchase order invoices using the same template.
Works with invoices from any country, language, or layout.
Invoice extraction vs OCR
Basic OCR extracts raw text from invoices but does not structure the data. Invoice extraction with Parselyze returns clean structured JSON, ready to use in your systems.
Manual entry
- 15+ min per invoice
- High error rate
- Does not scale
Basic OCR
- Raw unstructured text
- Breaks on layout changes
- Requires custom rules
Parselyze
- Structured JSON output
- Works on any layout
- No custom rules needed
This makes invoice data extraction APIs more reliable than OCR for automation workflows.
Want a deeper comparison? OCR vs Data Extraction →
First extraction in under 5 minutes
Install the SDK, create an invoice template, and submit your first document. The result is returned as structured JSON you can immediately use in your application.
npm install parselyzeReady to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all available for developers building invoice automation.
Automate invoice routing with Zapier
Push extracted invoice JSON to Google Drive, Gmail, Slack, Airtable, and thousands of other tools.
Frequently asked questions
Everything you need to know about invoice data extraction.
What is invoice data extraction?
Invoice data extraction is the process of automatically extracting structured information such as invoice numbers, vendor names, totals, and line items from invoice documents. Automated extraction eliminates manual data entry and delivers clean JSON ready for accounting systems.
How do you extract data from invoices automatically?
Using an invoice extraction API like Parselyze, you can upload invoices and automatically extract structured data such as totals, dates, and line items.
What invoice formats are supported?
Parselyze supports native PDF invoices, scanned invoice PDFs, invoice images (PNG, JPG, WEBP, TIFF, BMP), and multi-page invoices. It works with supplier invoices, purchase invoices, proforma invoices, and digital invoice exports from common tools.
What is an invoice parsing API?
An invoice parsing API allows developers to upload invoice PDFs or images and receive structured JSON containing all extracted fields (invoice number, vendor, dates, line items, amounts, and taxes) via a simple REST call.
Do I need to train a model for my specific invoice formats?
No. Parselyze is designed to work across a wide variety of invoice formats without custom training. You define the fields you want extracted using the Template Builder, and the AI handles layout variation automatically.
How do I define my own custom fields for extraction?
Use the Template Builder in the Parselyze dashboard to specify the fields you want to extract and how they should appear in the JSON response. You can also use the AI Template Wizard to generate a template from a sample invoice in seconds.
Can invoice data extraction integrate with QuickBooks or Xero?
Yes. The structured JSON returned by Parselyze is ready to be pushed to accounting systems like QuickBooks, Xero, SAP, or NetSuite via their APIs, or using automation platforms like Zapier or Make.
Can Parselyze extract line items from invoices?
Yes. Line item extraction is a core capability. Parselyze returns each line item as a JSON object inside a line_items array, with description, quantity, unit price, and total for every row on the invoice.
How accurate is automated invoice data extraction?
Parselyze achieves high field-level accuracy across standard and custom invoice formats. Accuracy depends on document quality: native PDF invoices consistently outperform low-resolution scans.
Is Parselyze suitable for high-volume invoice processing?
Yes. Parselyze supports async document jobs with webhook delivery for non-blocking pipelines. The synchronous endpoint accepts up to 10 files per call, and async jobs can be submitted in parallel for high-throughput workflows.
Go deeper on invoice extraction
Targeted guides covering implementation, OCR comparison, and developer setup.
Stop entering invoices by hand
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